Beijing Academy of Artificial Intelligence OmniGen2-RL HTTP POST Request deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in Beijing Academy of Artificial Intelligence OmniGen2-RL. This vulnerability affects unknown code of the component HTTP POST Request Handler. The manipulation results in deserialization. This vulnerability was named CVE-2026-25873. The attack may be performed from remote. There is no available exploit. A patch should be applied to remediate this issue.
Details
A vulnerability was found in Beijing Academy of Artificial Intelligence OmniGen2-RL (affected version unknown). It has been classified as critical. Affected is an unknown functionality of the component HTTP POST Request Handler. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
OmniGen2-RL contains an unauthenticated remote code execution vulnerability in the reward server component that allows remote attackers to execute arbitrary commands by sending malicious HTTP POST requests. Attackers can exploit insecure pickle deserialization of request bodies to achieve code execution on the host system running the exposed service.
The weakness was presented by Valentin Lobstein. The advisory is available at github.com. This vulnerability is traded as CVE-2026-25873 since 02/06/2026. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. The technical details are unknown and an exploit is not available.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-12954). If you want to get best quality of vulnerability data, you may have to visit VulDB.
Product
Type
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: github.com
Timeline
02/06/2026 CVE reserved03/18/2026 Advisory disclosed
03/18/2026 VulDB entry created
03/23/2026 VulDB entry last update
Sources
Advisory: github.comResearcher: Valentin Lobstein
Status: Confirmed
CVE: CVE-2026-25873 (🔒)
GCVE (CVE): GCVE-0-2026-25873
GCVE (VulDB): GCVE-100-351618
EUVD: 🔒
Entry
Created: 03/18/2026 23:49Updated: 03/23/2026 18:44
Changes: 03/18/2026 23:49 (76), 03/19/2026 02:18 (1), 03/23/2026 18:44 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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